Results 61 to 70 of about 1,174,184 (329)
New generation computing, 2021 The exponential spread of Covid-19 is not only a serious concern for public health but has also severely affected the global economy. India is not an exception. The banking sector must plan innovatively in a wide range of scenarios focusing upon Covid-19
Archana Patel +3 more
semanticscholar +1 more source
Shiva: A Framework for Graph Based Ontology Matching [PDF]
, 2014 Since long, corporations are looking for knowledge sources which can provide structured description of data and can focus on meaning and shared understanding.
Darbari, Hemant +3 more
core +1 more source
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors
North American Chapter of the Association for Computational Linguistics, 2018 Ontologies compartmentalize types and relations in a target domain and provide the semantic backbone needed for a plethora of practical applications. Very often different ontologies are developed independently for the same domain.
Prodromos Kolyvakis +2 more
semanticscholar +1 more source
A Large Scale Dataset for the Evaluation of Ontology Matching Systems [PDF]
, 2008 Recently, the number of ontology matching techniques and systems has increased significantly. This makes the issue of their evaluation and comparison more severe.
Avesani, Paolo +3 more
core
miRNA‐29 regulates epidermal and mesenchymal functions in skin repair
FEBS Letters, EarlyView.miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan +10 more
wiley +1 more source
CroMatcher 2.0: A Comprehensive Analysis of the Improved Ontology Matching System
IEEE AccessOne of the main challenges in ontology matching is to match ontologies with high accuracy. Therefore, ontology matching systems typically use multiple basic matchers, each targeting a specific ontology component for the matching process.
Marko Gulic +2 more
doaj +1 more source
A Comparative Study of Ontology Matching Systems via Inferential Statistics
IEEE Transactions on Knowledge and Data Engineering, 2019 Ontology matching systems are typically compared by comparing their average performances over multiple datasets. However, this paper examines the alignment systems using statistical inference since averaging is statistically unsafe and inappropriate. The
M. Mohammadi, W. Hofman, Yao-Hua Tan
semanticscholar +1 more source
FEBS Letters, EarlyView.Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek +15 more
wiley +1 more source
Matching biomedical ontologies through compact differential evolution algorithm
Systems Science & Control Engineering, 2019 Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
doaj +1 more source
Improving Ontology Matching Using Application Requirements for Segmenting Ontologies [PDF]
Journal of Universal Computer Science, 2019 Ontology matching is concerned with finding relations between elements of different ontologies. In large-scale settings, some significant challenges arise, such as how to achieve a reduction in the time it takes to perform matching and how to improve the
Diego Pessoa +2 more
doaj +3 more sources